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Background: Social support services such as day care centres are important in post-diagnostic dementia care to enable people living with dementia stay at home for longer. Little research has addressed potential inequalities in access, with no research on variations before and since COVID-19. The aim of this study was to explore inequalities in social support service usage before and since the pandemic. Methods: Unpaid carers and people living with dementia were interviewed over the phone about their experiences of accessing social support services before and since the COVID-19 pandemic. Transcripts were analysed for key themes using inductive and deductive thematic analysis. Results: Fifty participants (42 unpaid carers; eight people living with dementia) were interviewed, and five themes identified: (1) Service issues; (2) Access issues; (3) Relying on own initiative; (4) New inequalities due to COVID-19; and (5) Missing out on the benefits of support services. Participants reported transport, finances, and location as factors reducing their ability to access support service pre-COVID, with inequalities remaining and at times exacerbated since. Carers and people living with dementia also reported struggling with accessing basic necessities during COVID, including food and medicines. Conclusions: Considering the benefits of accessing support services, resourced procedures and facilities are needed to maintain access to support services with more accessible remote support provision, enabling people from all backgrounds to access the care they need. [ABSTRACT FROM AUTHOR]

Background: The main aim of emergency medical services (EMS) should be to provide universal emergency medical care which is EMS system available to all those who need it. Most of the developed countries have an integrated EMS system that is accessible by a single dial number in the whole country. Nepal does not have a proper EMS system. We conducted a literature review regarding methods of developing an integrated EMS system in Nepal. Result: The fragmented system, high demand–low supply, inequity with the service, and inadequately trained responders are major problems associated with EMS in Nepal. Nepal too should develop an integrated single dial number EMS system to meet the current demand of EMS. Having a paramedic in ambulances as the first responders will prevent chaos and save critical time. Funding models have to be considered while developing an EMS considering the capital as well as operational cost. Conclusion: Nepal can develop a public private partnership model of EMS where capital cost is provided by the government and operational cost by other methods. Community-based insurance system looks more feasible in a country like Nepal for generating operational cost. [ABSTRACT FROM AUTHOR]

Aim: This descriptive paper aims to describe the design and implementation of a community engaged primary healthcare strategy in rural Australia, the Primary Healthcare Registered Nurse: Schools-Based strategy. This strategy seeks to address the health, education and social inequities confronting children and adolescents through community engaged service provision and nursing practice. Background: There have been increasing calls for primary healthcare approaches to address rural health inequities, including contextualised healthcare, enhanced healthcare access, community engagement in needs and solutions identification and local-level collaborations. However, rural healthcare can be poorly aligned to community contexts and needs and be firmly entrenched in health systems, marginalising community participation. Methods: This strategy has been designed to enhance nursing service and practice responsiveness to the rural context, primary healthcare principles, and community experiences and expectations of healthcare. The strategy is underpinned by a cross-sector collaboration between a local health district, school education and a university department of rural health. A research framework is being developed to explore strategy impacts for service recipients, cross-sector systems, and the establishment and maintenance of a primary healthcare nursing workforce. Findings: Although in the early stages of implementation, key learnings have been acquired and strategic, relationship, resource and workforce gains achieved. [ABSTRACT FROM AUTHOR]

Before organizing mixed-mode data collection for the self-administered questionnaire of the Belgian Health Interview Survey, measurement effects between the paper-and-pencil and the web-based questionnaire were evaluated. A two-period cross-over study was organized with a sample of 149 employees of two Belgian research institutes (age range 22–62 years, 72% female). Measurement agreement was assessed for a diverse range of health indicators related to general health, mental and psychosocial health, health behaviors and prevention with kappa coefficients and intraclass correlation (ICC). The quality of the data collected by both modes was evaluated by quantifying the missing, ‘don’t know’ and inconsistent values and data entry mistakes. Good to very good agreement was found for all categorical indicators with kappa coefficients superior to 0.60, except for two mental and psychosocial health indicators namely the presence of a sleeping disorder and of a depressive disorder (kappa≥0.50). For the continuous indicators high to acceptable agreement was observed with ICC superior to 0.70. Inconsistent answers and data-entry mistakes were only occurring in the paper-and-pencil mode. There were no less missing values in the web-based mode compared to the paper-and-pencil mode. The study supports the idea that web-based modes provide, in general, equal responses to paper-and-pencil modes. However, health indicators based upon factual and objective items tend to have higher measurement agreement than indicators requiring an assessment of personal subjective feelings. A web-based mode greatly facilitates the data-entry process and guides the completing of a questionnaire. However, item non-response was not positively affected. [ABSTRACT FROM AUTHOR]

Background: Teachers form a large and essential workforce globally. Their wellbeing impacts personal health-related outcomes with flow on effects for the health, and wellbeing of their students. However, food and nutrition (FN) interventions that include teachers, typically neglect the impact of personal FN factors on a teachers' ability to achieve optimal nutrition-related health and wellbeing, and successfully fulfil their professional FN roles as health promoters, gate keepers, educators', and role models. The aim of this review was to scope FN constructs that have been studied internationally regarding teacher FN-related health and wellbeing. Methods: Six databases were searched, and papers extracted in June/July 2021. Eligibility criteria guided by the population, concept, context mnemonic included studies published after 2000, in English language, with an aspect of personal FN-related health and wellbeing, among in-service (practising) and pre-service (training), primary, and secondary teachers. Screening studies for inclusion was completed by two independent researchers with data extraction piloted with the same reviewers and completed by lead author, along with complete descriptive and thematic analysis. Results: Ten thousand six hundred seventy-seven unique articles were identified with 368 eligible for full text review and 105 included in final extraction and analysis. Sixty-nine descriptive studies were included, followed by 35 intervention studies, with the main data collection method used to assess both personal and professional FN constructs being questionnaires (n = 99 papers), with nutrition knowledge and dietary assessment among the most commonly assessed. Conclusion: FN constructs are used within interventions and studies that include teachers, with diversity in constructs included and how these terms are defined. The evidence from this scoping review can be used to inform data collection and evaluation in future epidemiological and interventional research that addresses teacher FN-related health and wellbeing. [ABSTRACT FROM AUTHOR]

Background Following years of sustained pressure on the UK health service, there is recognition amongst health professionals and stakeholders that current models of healthcare are likely to be inadequate going forward. Therefore, a fundamental review of existing social models of healthcare is needed to ascertain current thinking in this area, and whether there is a need to change perspective on current thinking. Method Through a systematic research review, this paper seeks to address how previous literature has conceptualized a social model of healthcare and, how implementation of the models has been evaluated. Analysis and data were extracted from 222 publications and explored the country of origin, methodological approach, and the health and social care contexts which they were set. Results The publications predominantly drawn from the USA, UK, Australia, Canada and Europe identified five themes namely: the lack of a clear and unified definition of a social model of health and wellbeing; the need to understand context; the need for cultural change; improved integration and collaboration towards a holistic and person-centred approach; measuring and evaluating the performance of a social model of health. Conclusion The review identified a need for a clear definition of a social model of health and wellbeing. Furthermore, consideration is needed on how a model integrates with current models and whether it will act as a descriptive framework or, will be developed into an operational model. The review highlights the importance of engagement with users and partner organizations in the co-creation of a model of healthcare. [ABSTRACT FROM AUTHOR]

Aging is a heterogeneous process. Most newly diagnosed cancers occur in older adults, and it is important to understand a patient's underlying health status when making treatment decisions. A geriatric assessment provides a detailed evaluation of medical, psychosocial, and functional problems in older patients with cancer. Specifically, it can identify areas of vulnerability, predict survival and toxicity, assist in clinical treatment decisions, and guide interventions in routine oncology practice; however, the uptake is hampered by limitations in both time and resources, as well as by a lack of expert interpretation. In this review, we describe the utility of geriatric assessment by using an illustrative case and provide a practical approach to geriatric assessment in oncology. [ABSTRACT FROM AUTHOR]

Background: A person‐centred approach in the context of health services delivery implies a biopsychosocial model focusing on all factors that influence the person's health and functioning. Those wishing to monitor change should consider this perspective when they develop and use guidelines to stimulate active consideration of the person's needs, preferences and participation in goal setting, intervention selection and the use of appropriate outcome measures. Objective: To develop a position paper that promotes a person‐centred approach in guideline development and implementation. Design, setting and participants: We used three narrative discussion formats to collect data for achieving consensus: a nominal group technique for the Allied Health Steering Group, an Internet discussion board and a workshop at the annual G‐I‐N conference. We analysed the data for relevant themes to draft recommendations. Results: We built the position paper on the values of the biopsychosocial model. Four key themes for enhancing a person‐centred approach in clinical guidelines emerged: (i) use a joint definition of health‐related quality of life as an essential component of intervention goals, (ii) incorporate the International Classification of Functioning, Disability and Health (ICF) as a framework for considering all domains related to health, (iii) adopt a shared decision‐making method, and (iv) incorporate patient‐reported health outcome measures. The position statement includes 14 recommendations for guideline developers, implementers and users. Conclusion: This position paper describes essential elements for incorporating a person‐centred approach in clinical guidelines. The consensus process provided information about barriers and facilitators that might help us develop strategies for implementing person‐centred care. [ABSTRACT FROM AUTHOR]

The article discusses a recommendation to include preeclampsia as an indicator for improving maternal health and reducing the rate of child mortality in response to a call for papers from the World Health Organization (WHO) related to the post-2015 development agenda measurement of progress towards health goals. It explores the etiology of preeclampsia and the role of seminal priming in sustaining a healthy pregnancy by repeated deposits of seminal fluid on sexual intercourse with the same man.

Background: The aim of the research is to shed light on the experiences of a group of nursing students enrolled in a yoga elective course who practiced yoga regularly for 14 weeks, regarding yoga and the phenomenon of doing yoga, with a qualitative approach. Methods: This qualitative study was conducted at a public university in Izmir, Turkey. The study sample consisted of 61 students enrolled in the 1st-year yoga course at the Department of Nursing, Faculty of Health Sciences. Except for two students, 59 of them participated in the study. Participants attended a face-to-face yoga course once a week for 1.5 h over a 14-week period. Each session comprised 30 min of theoretical instruction and 60 min of practice. In data collection, an interview form containing five questions was used to understand nursing students' experiences and thoughts about practicing yoga. In addition, A4 sized papers in different colors were presented to the participants. The participants were asked to draw and/or cut a shape by choosing the paper in the color that most evokes yoga. Then they were asked to explain why they chose this color and why they drew this shape. Participants were given one hour. After the data were collected, the pictures drawn by the participants and their descriptions of their drawings were transferred to the computer and included in the analysis. Qualitative data were hand-coded by the researchers. Within in-vivo coding, code names were formed from the participants' expressions. The findings analyzed by content analysis were interpreted with the literature under the themes by presenting quotations. Results: It was determined that the participants used nature figures (sun, cloud, tree, sky, flower) (f = 75), people doing yoga (f = 12), and sound, light and other figures (bird sound, wave sound, candle, light bulb, traffic light, heart, eye, left key, peace, swing, India, circle, etc.) (f = 29) in the shapes they drew and cut out on A4 sized papers in different colors to describe their experiences and thoughts about practicing yoga. The participants mostly chose blue-green-yellow colors (n = 41). With qualitative question analysis, a list of codes was created from the answers given by the students to the questions for the phenomenon of "doing yoga" (number of codes = 98). After the analysis of the data, four categories were reached. The category names and frequency numbers explaining the phenomenon of practicing yoga were distributed as "symbol of health and serenity (f = 345)", "the way to place goodness in your heart (f = 110)", "the most effective way to meet the self (f = 93)" and "no guarantee of relaxation (f = 71)", respectively. Conclusions: The results indicate that yoga is perceived by nursing students as a multifaceted practice that evokes a range of emotional and physical responses. Most participants associate yoga with symbols of health, serenity, and self-awareness, often using natural elements and blue-green-yellow the colors to represent these feelings. However, there is also recognition that yoga may not guarantee relaxation for everyone, as some students reported difficulties in meditation, physical discomfort, and challenges in focusing. The study highlights the variability in how individuals experience yoga, emphasizing both its positive effects on well-being and the potential challenges in practice. These findings suggest that while yoga is widely valued for its calming and health-promoting benefits, it may not be universally effective in achieving relaxation or mindfulness. [ABSTRACT FROM AUTHOR]

Objective: The Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) is validated for measuring fatigue in rheumatoid arthritis (RA). However, 10 of 13 FACIT-F items are identified as relevant to patients with RA. The Patient-Reported Outcomes Measurement Information System (PROMIS) uses an item response theory-calibrated T score metric. The PROMIS Fatigue item bank includes the FACIT-F items, enabling score conversion. The performance of converted PROMIS Fatigue scores has not been evaluated in RA populations or clinical trials. Our objective was to assess the performance of converted PROMIS Fatigue scores in 2 RA clinical trials of baricitinib., Methods: Crosswalk tables and pattern-scoring methods converted FACIT-F scores to PROMIS Fatigue for both the 13-item FACIT-F and the 10-item RA-optimized FACIT-F instrument, in 2 RA clinical trials evaluating baricitinib, RA-BEAM, and RA-BEACON. RA-BEAM patients had an inadequate response to methotrexate. RA-BEACON patients had an inadequate response or intolerance to ≥1 tumor necrosis factor inhibitor. Baricitinib was compared to all treatment arms via analysis of covariance on PROMIS Fatigue score conversions., Results: Baseline FACIT-F-derived PROMIS Fatigue scores reflected severe fatigue across treatment groups and were similar using different scoring methods. At week 24 in both studies, baricitinib was associated with clinically meaningful improvements in PROMIS Fatigue scores. PROMIS Fatigue scores were consistent for conversion methods and for the 13-item or 10-item FACIT-F., Conclusion: All 4 conversion methods showed differentiation of active treatment compared with placebo from week 12, supporting the use of the PROMIS Fatigue and converting the 10-item FACIT-F to assess fatigue and demonstrate treatment benefit in RA clinical trials on a standardized metric., (© 2020, American College of Rheumatology.)

The article focuses on 18 to 65 years aged patients with Multiple Sclerosis (MS) who were referred for 4 weeks of inpatient rehabilitation, with an expanded disability status scale score. It mentions the treatment group received immediate admission for multidisciplinary inpatient rehabilitation; and also mentions multidisciplinary inpatient rehabilitation had small and inconsistent effects on parameters of health-related quality of life in people with MS at 6 months.

Objective: To develop a framework and indicators to monitor inequalities in health and the social determinants of health for Australians with disability., Methods: The development drew on existing frameworks and input from people with lived experience of disability., Results: The Disability and Wellbeing Monitoring Framework has 19 domains. Australian national data are available for 73% of the 128 indicators in these domains. Data gaps and limitations include the absence of national data and the absence of disability identifiers in some data sources., Conclusions: The framework will be used to report baseline data for people with and without disability and to monitor inequalities over time in Australia. It will also be used to locate policy priorities and focus efforts to address data gaps. Implications for public health: Inequality between people with and without disability in relation to health and the social determinants of health is a public health issue that warrants greater attention than it has received to date. The framework provides a robust, evidence-informed tool to address the health inequalities of people with disability, inform the development of effective policy and practice responses, and monitor change over time., (© 2020 The Authors.)

Global initiatives have raised awareness of the need for cross-departmental and cross-sectoral activities to support urban health, sustainability, and equity, with respective indicators routinely used as a way to catalyze and monitor action toward pre-defined goals. Despite the existence of at least 145 urban health indicator (UHI) tools globally, there has been very little research on the use of indicators by policy- and decision-makers; more attention has been devoted to their development and validation. This paper describes the second part of a two-part systematic review of the characteristics (part A) and use (part B, this part) of UHI tools by municipal built environment policy- and decision-makers. Part B is a narrative synthesis of studies on the use of UHI tools. This PRISMA-P compliant review follows a mixed methods sequential explanatory design. The search was conducted using seven bibliographic databases, grey literature searches, and key journal hand searches. Ten studies describing the use of ten UHI tools in seven countries were included in the narrative synthesis, resulting in development of a theory of change (ToC). We found that both expert-led and participatory indicator projects can be underpinned by research evidence and residents' knowledge. Our findings contradict the dominant view of indicator use in policy-making as a linear process, highlighting a number of technical, organizational, political, knowledge, and contextual factors that affect their use. Participatory UHI tools with community involvement were generally more effective at supporting "health in all policies" and "whole-of-society" approaches to governing healthy cities than expert-led processes. UHI tool producers proposed a range of techniques to address urban health complexity characteristics. Finally, in combining data from both parts of the review, we found that potentially important UHI tool features, such as neighbourhood-scale data, were influential in the use of indicators by built environment policy- and decision-makers.

Background During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers. Methods We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe. Results After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%). Conclusions The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations. [ABSTRACT FROM AUTHOR]

The article explores the concept and importance of population health metrics, emphasizing the need for multidimensional and integrative measures to assess community health outcomes comprehensively. Topics discussed include the evolution and definitions of population health, the challenges of measuring health disparities and outcomes globally, and the role of innovative methodologies in improving population health assessment and equity.

Background: Increasing numbers of family carers are providing informal care in community settings. This creates a number of challenges because family carers are at risk of poor physical and psychological health outcomes, with consequences both for themselves and those for whom they provide care. General Practitioners (GPs), who play a central role in community-based care, are ideally positioned to identify, assess, and signpost carers to supports. However, there is a significant gap in the literature in respect of appropriate guidance and resources to support them in this role. Methods: A scoping review was undertaken to examine clinical guidelines and recommendations for GPs to support them in their role with family carers. This involved a multidisciplinary team, in line with Arksey & O'Malley's framework, and entailed searches of ten peer-reviewed databases and grey literature between September-November 2020. Results: The searches yielded a total of 4,651 English language papers, 35 of which met the criteria for inclusion after removing duplicates, screening titles and abstracts, and performing full-text readings. Ten papers focused on resources/guidelines for GPs, twenty were research papers, three were review papers, one was a framework of quality markers for carer support, and one was an editorial. Data synthesis indicated that nine (90%) of the guidelines included some elements relating to the identification, assessment, and/or signposting of carers. Key strategies for identifying carers suggest that a whole practice approach is optimal, incorporating a role for the GP, practice staff, and for the use of appropriate supporting documentation. Important knowledge gaps were highlighted in respect of appropriate clinical assessment and evidence-based signposting pathways. Conclusion: Our review addresses a significant gap in the literature by providing an important synthesis of current available evidence on clinical guidelines for GPs in supporting family carers, including strategies for identification, options for assessment and potential referral/signposting routes. However, there is a need for greater transparency of the existing evidence base as well as much more research to evaluate the effectiveness and increase the routine utilisation, of clinical guidelines in primary care. [ABSTRACT FROM AUTHOR]

The prediction of the health status of critical components is an important influence in making accurate maintenance decisions for rotating equipment. Since vibration signals contain a large amount of fault information, they can more accurately describe the health status of critical components. Therefore, it is widely used in the field of rotating equipment health state prediction. However, there are two major problems in predicting the health status of key components based on vibration signals: (1) The working environment of rotating equipment is harsh, and if only one feature in the time or frequency domain is selected for fault analysis, it will be susceptible to harsh operating environments and cannot completely reflect the fault information. (2) The vibration signals are unlabeled time series data, which are difficult to accurately convert into the health status of key components. In order to solve the above problems, this paper proposes a combined prediction model combining a bidirectional long- and short-term memory network (BiLSTM), a self-organizing neural network (SOM) and particle swarm optimization (PSO). Firstly, the SOM is utilized to fuse the fault characteristics of multiple vibration signals of key components to obtain an indicator (HI) that can reflect the health status of rotating equipment and to also compensate for the vulnerability of single signal characteristics in the time or frequency domain to environmental influences. Secondly, the K-means clustering method is employed to cluster the health indicators and determine the health state, which solves the problem of determining the health of a component from unsupervised vibration signal data which is quite difficult. Finally, the particle swarm optimized BiLSTM model is used to predict the health state of key components and the bearing dataset from the IEEE PHM 2012 Data Challenge verifies the method's effectiveness and validity. [ABSTRACT FROM AUTHOR]

The proportion of aged populations is increasing worldwide. Exercise has a palliating effect on some adverse implications of aging. Multicomponent training (MCT) is a recommended form of exercise for the aged population. The aims of this research were to (1) study the number of publications regarding MCT in the aged population following an exponential growth rate; (2) identify the journals, authors, and countries that stand out the most in this area; and (3) describe the most common themes and used keywords in this field. The analysis was performed through the traditional laws of bibliometrics, including, Price's, Lotka's, Bradford's, and Zipf's law. All documents published in journals indexed in the Web of Science (WoS) Core Collection from 2001 to November 2023 that met the inclusion criteria were included. The 485 documents included in this review revealed that the number of annual publications experienced an exponential growth phase, 15 journals with six or more publications formed the core journals on this topic, and the author Mikel Izquierdo and his collaborative network topped the lists of prominent and prolific co-authors. Spain was the leading country in number of publications. Various thematic lines and keywords regarding strength, sarcopenia, quality of life, falls, balance, dual-task exercise, and cognitive and physical functioning were identified. In conclusion, this work confirmed that research on this topic is going through an exponential growth phase and provided detailed information about the journals, authors, and countries involved in the subject, as well as the keywords most frequently used in the subject matter. [ABSTRACT FROM AUTHOR]

Objectives: To determine if subgroups of patients exist based on the recovery trajectory of health-related quality of life following hip arthroscopy for femoroacetabular impingement syndrome (FAIS), and to determine clinical data predictors for these subgroups of patients. Methods: A clinical hip data repository was queried for patients who underwent primary hip arthroscopy for the treatment of FAIS between January 2012 and May 2018. Patients who completed pre-operative, 1-year, and 2-year International Hip Outcome Tool-12 (iHOT-12) were included in the study. Latent class growth analysis (LCGA) and growth mixture models (GMM) were used to identify subgroups of patients based on trajectories of recovery for iHOT-12 utilizing 3 clinical time points (pre-operative [within 1 week of surgery], one-year postoperative, and two-year postoperative). LCGA and GMM models using 1 – 6 classes were assessed for best model fit according to AIC, BIC, bootstrapped likelihood ratio test, and log-likelihood ratios. Following the final model selection, a multivariable multinomial logistic regression on the final model was performed with the largest class as the reference group to determine clinical predictors of subgroup membership. Results: A total of 443 patients with an average age of 34.25 ± 12.65 and BMI of 25.02 ± 5.11met inclusion criteria. The 3-class GMM was the best fit model, and the resulting subgroups were named based on trajectories of iHOT-12 scores: early progressors, late regressors, and late progressors (Figure 1A). The early progressors comprised 70.0% of the study group and had substantial early improvement between preoperative and 1-year follow-up with further improved 2-year outcomes (Figure 1B). The late regressors comprised 22.3% of the study sample and demonstrated improvement between preoperative and 1-year follow-up with decreasing function between 1-year and 2-years postoperatively (Figure 1C). The late progressors represented the smallest group at 7.7% and only demonstrated improved outcomes after 1-year postoperatively (Figure 1D). Predictors of the late regressor membership were worker's compensation status, psychiatric history, preoperative chronic pain, and lower preoperative iHOT-12 scores. Patients in the late progressor subgroup were less likely to participate in physical hobbies/exercise. Conclusions: Using growth mixture models, three natural courses of health-related quality of life recovery following hip arthroscopy for the treatment of FAIS were identified: early progressors, late regressors, and late progressors. Worker's compensation status, psychiatric history, preoperative chronic pain, and lower preoperative iHOT-12 scores were predictive of less than favorable trajectories of recovery. Figure 1. [ABSTRACT FROM AUTHOR]

Remote Measurement Technologies (RMTs) could revolutionise management of chronic health conditions by providing real-time symptom tracking. However, the promise of RMTs relies on user engagement, which at present is variably reported in the field. This review aimed to synthesise the RMT literature to identify how and to what extent engagement is defined, measured, and reported, and to present recommendations for the standardisation of future work. Seven databases (Embase, MEDLINE and PsycINFO (via Ovid), PubMed, IEEE Xplore, Web of Science, and Cochrane Central Register of Controlled Trials) were searched in July 2020 for papers using RMT apps for symptom monitoring in adults with a health condition, prompting users to track at least three times during the study period. Data were synthesised using critical interpretive synthesis. A total of 76 papers met the inclusion criteria. Sixty five percent of papers did not include a definition of engagement. Thirty five percent included both a definition and measurement of engagement. Four synthetic constructs were developed for measuring engagement: (i) engagement with the research protocol, (ii) objective RMT engagement, (iii) subjective RMT engagement, and (iv) interactions between objective and subjective RMT engagement. The field is currently impeded by incoherent measures and a lack of consideration for engagement definitions. A process for implementing the reporting of engagement in study design is presented, alongside a framework for definition and measurement options available. Future work should consider engagement with RMTs as distinct from the wider eHealth literature, and measure objective versus subjective RMT engagement. Registration: This review has been registered on PROSPERO [CRD42020192652]. [ABSTRACT FROM AUTHOR]

This article offers four key lessons learned from a set of seven studies undertaken as part of the collection entitled, "Improving Maternal Health Measurement to Support Efforts toward Ending Preventable Maternal Mortality". These papers were aimed at validating ten of the Ending Preventable Maternal Mortality initiative indicators that capture information on distal causes of maternal mortality. These ten indicators were selected through an inclusive consultative process, and the research designs adhere to global recommendations on conducting indicator validation studies. The findings of these papers are timely and relevant given growing recognition of the role of macro-level social, political, and economic factors in maternal and newborn survival. The four key lessons include: 1) Strengthen efforts to capture maternal and newborn health policies to enable global progress assessments while reducing multiple requests to countries for similar data; 2) Monitor indicator "bundles" to understand degree of policy implementation, inconsistencies between laws and practices, and responsiveness of policies to individual and community needs; 3) Promote regular monitoring of a holistic set of human resource metrics to understand how to effectively strengthen the maternal and newborn health workforce; and 4) Develop and disseminate clear guidance for countries on how to assess health system as well as broader social and political determinants of maternal and newborn health. These lessons are consistent with the Kirkland principles of focus, relevance, innovation, equity, global leadership, and country ownership. They stress the value of indicator sets to understand complex phenomenon related to maternal and newborn health, including small groupings of complementary indicators for measuring policy implementation and health workforce issues. They also stress the fundamental ethos that maternal and newborn health indicators should only be tracked if they can drive actions at global, regional, national, or sub-national levels that improve lives. [ABSTRACT FROM AUTHOR]

Background: This study takes on the challenge of quantifying a complex causal loop diagram describing how poverty and health affect each other, and does so using longitudinal data from The Netherlands. Furthermore, this paper elaborates on its methodological approach in order to facilitate replication and methodological advancement. Methods: After adapting a causal loop diagram that was built by stakeholders, a longitudinal structural equation modelling approach was used. A cross-lagged panel model with nine endogenous variables, of which two latent variables, and three time-invariant exogenous variables was constructed. With this model, directional effects are estimated in a Granger-causal manner, using data from 2015 to 2019. Both the direct effects (with a one-year lag) and total effects over multiple (up to eight) years were calculated. Five sensitivity analyses were conducted. Two of these focus on lower-income and lower-wealth individuals. The other three each added one exogenous variable: work status, level of education, and home ownership. Results: The effects of income and financial wealth on health are present, but are relatively weak for the overall population. Sensitivity analyses show that these effects are stronger for those with lower incomes or wealth. Physical capability does seem to have strong positive effects on both income and financial wealth. There are a number of other results as well, as the estimated models are extensive. Many of the estimated effects only become substantial after several years. Conclusions: Income and financial wealth appear to have limited effects on the health of the overall population of The Netherlands. However, there are indications that these effects may be stronger for individuals who are closer to the poverty threshold. Since the estimated effects of physical capability on income and financial wealth are more substantial, a broad recommendation would be that including physical capability in efforts that are aimed at improving income and financial wealth could be useful and effective. The methodological approach described in this paper could also be applied to other research settings or topics. [ABSTRACT FROM AUTHOR]

Background: This scoping review reports on studies that collect survey data using quantitative research to measure self-reported oral health status outcome measures. The objective of this review is to categorize measures used to evaluate self-reported oral health status and oral health quality of life used in surveys of general populations. Methods: The review is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) with the search on four online bibliographic databases. The criteria include (1) peer-reviewed articles, (2) papers published between 2011 and 2021, (3) only studies using quantitative methods, and (4) containing outcome measures of self-assessed oral health status, and/or oral health-related quality of life. All survey data collection methods are assessed and papers whose methods employ newer technological approaches are also identified. Results: Of the 2981 unduplicated papers, 239 meet the eligibility criteria. Half of the papers use impact scores such as the OHIP-14; 10% use functional measures, such as the GOHAI, and 26% use two or more measures while 8% use rating scales of oral health status. The review identifies four data collection methods: in-person, mail-in, Internet-based, and telephone surveys. Most (86%) employ in-person surveys, and 39% are conducted in Asia-Pacific and Middle East countries with 8% in North America. Sixty-six percent of the studies recruit participants directly from clinics and schools, where the surveys were carried out. The top three sampling methods are convenience sampling (52%), simple random sampling (12%), and stratified sampling (12%). Among the four data collection methods, in-person surveys have the highest response rate (91%), while the lowest response rate occurs in Internet-based surveys (37%). Telephone surveys are used to cover a wider population compared to other data collection methods. There are two noteworthy approaches: 1) sample selection where researchers employ different platforms to access subjects, and 2) mode of interaction with subjects, with the use of computers to collect self-reported data. Conclusion: The study provides an assessment of oral health outcome measures, including subject-reported oral health status and notes newly emerging computer technological approaches recently used in surveys conducted on general populations. These newer applications, though rarely used, hold promise for both researchers and the various populations that use or need oral health care. [ABSTRACT FROM AUTHOR]

Introduction: Associations between structural inequalities and health are well established. However, there is limited work examining this link in relation to mental health, or that centres public perspectives. This study explores people's experience and sense‐making of inequality in their daily lives, with particular consideration of impacts on mental health. Methods: We conducted a peer research study. Participants had to live in one of two London Boroughs and have an interest in inequalities and mental health. Using social media, newsletters, local organisations and our peer researchers' contacts, we recruited 30 participants who took photos representing their experience of inequality and discussed them during semi‐structured interviews. Data were analysed using reflexive thematic analysis. Results: Three themes were identified in this study: (1) inequalities are unjust, multilayered and intertwined with mental health. Accounts demonstrated a deep understanding of inequalities and their link to mental health outcomes, describing inequalities as 'suffering' and 'not good for anyone'. Financial, housing, immigration and healthcare problems exacerbated poor mental health, with racism, gender‐based violence and job loss also contributing factors for both poor mental health and experiences of inequality; (2) inequalities exclude and have far‐reaching mental health consequences, impacting personal sense of belonging and perceived societal value and (3) moving forwards—addressing long‐standing inequality and poor public mental health necessitated coping and resilience strategies that are often unacknowledged and undervalued by support systems. Conclusion: Lived experience expertise was central in this study, creating an innovative methodological approach. To improve public mental health, we must address the everyday, painful structural inequalities experienced by many as commonplace and unfair. New policies and strategies must be found that involve communities, redistributing resources and power, building on a collective knowledge base, to coproduce actions combatting inequalities and improving population mental health. Patient or Public Contribution: This study was peer‐led, designed and carried out by researchers who had experiences of poor mental health. Six authors of the paper worked as peer researchers on this study. [ABSTRACT FROM AUTHOR]

In epidemiological studies, dairy food consumption has been associated with minimal effect or decreased risk of some cardiometabolic diseases (CMD). However, current methods of dietary assessment do not provide objective and accurate measures of food intakes. Thus, the identification of valid and reliable biomarkers of dairy product intake is an important challenge to best determine the relationship between dairy consumption and health status. This review investigated potential biomarkers of dairy fat consumption, such as odd-chain, trans- and branched-chain fatty acids (FA), which may improve the assessment of full-fat dairy product consumption. Overall, the current use of serum/plasma FA as biomarkers of dairy fat consumption is mostly based on observational evidence, with a lack of well-controlled, dose–response intervention studies to accurately assess the strength of the relationship. Circulating odd-chain SFA and trans-palmitoleic acid are increasingly studied in relation to CMD risk and seem to be consistently associated with a reduced risk of type 2 diabetes in prospective cohort studies. However, associations with CVD are less clear. Overall, adding less studied FA such as vaccenic and phytanic acids to the current available evidence may provide a more complete assessment of dairy fat intake and minimise potential confounding from endogenous synthesis. Finally, the current evidence base on the direct effect of dairy fatty acids on established biomarkers of CMD risk (e.g. fasting lipid profiles and markers of glycaemic control) mostly derives from cross-sectional, animal and in vitro studies and should be strengthened by well-controlled human intervention studies. [ABSTRACT FROM AUTHOR]

Background: Our conventional approach to health care tends to separate patients' health by body system, treating each independently and "efficiently"—e.g., minimal time with a provider, reliance on medications, and little investment to support behavioral and lifestyle improvements. Meanwhile, the United States has the most expensive health care in the world, with some of the worse outcomes. Purpose In this paper, we make the case for transforming health care from a disease-centric approach to a "whole person" model. Research Design: We provide detailed health and health care utilization assumptions for a hypothetical patient, Mrs. M, over her life from age 40 to 80 years under 2 care scenarios: the continuation of conventional care (Version A) and a whole person care approach (Version B). Analysis We developed a set of health care utilization assumptions for each scenario, applied 2023 U.S. dollar (USD) resource prices, and estimated cumulative total health care costs. The price and the health care utilization assumptions for the conventional care scenario were validated using Medical Expenditures Panel Survey (MEPS) data. Results: At age 80, with conventional care, we find Mrs. M increasingly frail and living in a skilled nursing facility, with total cumulative health care costs of $353,155. With whole person care, we find her active and generally healthy at age 80, with total cumulative health care costs of $52,425. Conclusions: Although based on an "imagined" case, the 2 versions of Mrs. M's history illustrate how an investment beginning in early middle age to support a healthy diet, physical activity, and stress management can plausibly lead to improved health and well-being, as well as reduced health care spending. [ABSTRACT FROM AUTHOR]

An effective health status assessment (HSA) for pump station units (PSUs) is crucial for accurately determining their real status and providing technical support for safe operational decisions. Due to the limitations of existing data-driven HSA methods, which primarily focus on the temporal dependencies of monitoring signals and fail to explore the complex interconnections among signals comprehensively. Moreover, when constructing performance degradation indices based on linear differences, these methods do not effectively integrate heterogeneous signals, resulting in an incomplete and inaccurate assessment of the overall system degradation. This paper proposes a real-time comprehensive HSA method for PSUs based on multi-source heterogeneous uncertainty information. Initially, a health benchmark model (HBM) is built using CrossGNN, which possesses cross-scale and cross-variable interaction capabilities, to precisely capture the temporal dependencies and dynamic relationships among variables in monitoring signals. Subsequently, key measurement points that reflect the operational status of the PSUs are identified through correlation analysis to establish multi-source evaluation indices. Then, considering the uncertainty in signal changes, a novel health degradation index (HDI) is developed using Mahalanobis distance (MD) and the Gaussian Cloud Model (GCM) to analyze changes in unit status. Furthermore, a weighting calculation method based on the non-dominated sorting genetic algorithm (NSGA-II) is proposed to establish a real-time comprehensive health index (RCHDI) for a thorough assessment of PSUs status. Finally, the effectiveness of the proposed method is validated through a case study using data from a pump station in the South-to-North Water Diversion Project in China. The results show that, compared to other studies, the proposed method significantly improves the stability and smoothness of the state assessment curve, with increases of 21.5% and 47.1% respectively, providing a new perspective for comprehensively assessing the health status of PSUs.V [ABSTRACT FROM AUTHOR]

Introduction: Cancer treatments frequently lead to cognitive impairments, affecting a substantial global population. Among various approaches, exercise has emerged as a promising strategy for rehabilitation. However, a comprehensive bibliometric analysis of research in this field is lacking. Methods: We conducted a bibliometric analysis of 10,345 articles sourced from the Web of Science database using the R package "bibliometrix". Our analysis examined publication trends, leading countries, journals, authors, institutions, keywords, and prevalent themes. Results: Over the past two decades, research on exercise interventions for cancer-related cognitive impairments (CRCI) has advanced significantly. Nonetheless, challenges persist in elucidating underlying mechanisms, developing innovative strategies, and creating effective tools. Conclusions: The number of publications notably increased from 1998 to 2023, although there has been a recent decline in citations. The United States (US) leads in both publications and citations, while China is showing increasing influence. Using Lotka's Law in our bibliometric analysis, we identified 58 key authors in the field of exercise interventions for CRCI. Leading institutions such as the University of Toronto and Duke University are at the forefront of this research. Although the Journal of Clinical Oncology has fewer publications, it remains influential. Current research focuses on exercise interventions to enhance the quality of life for cancer patients, with particular emphasis on cognitive rehabilitation in breast cancer and the challenges faced by survivors. Future research should delve deeper into intervention mechanisms, behavioral strategies, telemedicine, and precise cognitive assessment tools. [ABSTRACT FROM AUTHOR]

Background: Maintaining a physically active lifestyle is a determinant factor of a healthy life and personal happiness. Meanwhile, physical inactivity remains a significant issue, resulting in negative consequences for public health. Objectives: This paper investigates the relationships between physical activity, physical inactivity, a healthy life, life expectancy, and personal happiness in European Union (EU) countries. Methods: This empirical study uses an artificial neural network and cluster analysis to analyze and interpret data from 27 EU countries. Artificial neural network analysis enables the assessment of the relationships between physical activity and inactivity, a healthy life, and personal happiness, while cluster analysis identifies groups of EU countries based on physical activity, healthy life, and personal happiness indicators. Results: The results show significant positive links between physical activity and improvements in healthy living and personal happiness. Conclusions: This study highlights considerable variations among EU countries regarding the levels of physical activity, healthy living, and personal happiness, emphasizing the importance of promoting physical activity to enhance public health and overall well-being. The findings suggest the need to develop customized policies that address country-specific factors and promote an active lifestyle. [ABSTRACT FROM AUTHOR]

Background: As a novel and time-efficient exercise form, high-intensity interval training (HIIT) has shown great potential in improving health-related physical fitness among diverse populations. However, empirical evidence on its efficacy among the elderly has not been well summarized. This systematic review and meta-analysis aimed to determine the effect of HIIT interventions on the parameters related to physical fitness and health of older adults, including resting heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), cardiorespiratory fitness (CRF), body mass index (BMI), body fat percent (BF%), waist circumference (WC), muscular endurance (ME), muscular strength (MS), muscular power (MP), balance and flexibility, compared to non-exercise and other-exercise (e.g., moderate-intensity continuous training, resistance training) conditions. Methods: Literature published from January 2000 to May 2023 was collected through extensive searches across eight databases and relevant review papers. Randomized controlled trials (RCTs) featuring a minimum 2-week exercise intervention for older adults (≥ 60 years) were included. The pooled effect size of Hedges'g was estimated using random-effects models in R. Meta-regression was performed for both categorical (health status, duration of training programme, and frequency) and continuous moderators (mean age, male rate, and attrition rate). Results: Forty-four eligible RCTs with 1863 participants (52.1% female; 60.5–81.2 years) were included in the quantitative analysis. Compared to non-exercise condition, HIIT significantly improved resting HR (g = -0.36, 95%CI = [-0.67, -0.05], P = 0.032), SBP (g = -0.29, 95%CI = [-0.54, -0.03], P = 0.008), CRF (g = 0.77, 95%CI = [0.51, 1.04], P < 0.001), BF% (g = -0.26, 95%CI = [-0.41, -0.11], P = 0.006), MS (g = 0.47, 95%CI = [0.23, 0.71], P = 0.004), ME (g = 0.65, 95%CI = [0.10, 1.19], P = 0.036), and balance (e.g., timed-up-and-go) (g = -0.79, 95%CI = [-1.19, -0.40], P = 0.035). Compared to other-exercise condition, HIIT significantly improved resting HR (g = -0.11, 95%CI = [-0.21, -0.01], P = 0.029), SBP (g = -0.14, 95%CI = [-0.28, -0.01], P = 0.038), and CRF (g = 0.23, 95%CI = [0.07, 0.38], P = 0.008). No significant difference was found between HIIT and non-exercise condition for DBP, BMI and WC, as well as between HIIT and other-exercise condition for DBP, BMI, BF%, WC, ME, and balance (all P > 0.05). Meta-regression indicated that mean age moderated the HIIT effect on resting HR (b = -0.02, P = 0.014; HIIT vs. other-exercise condition) and SBP (b = 0.03, P = 0.048; HIIT vs. non-exercise), and attrition rate moderated the effect on CRF (b = 0.03, P = 0.007; HIIT vs. non-exercise). Conclusion: This study supports the efficacy of HIIT in improving resting HR, SBP, CRF, BF%, MS, ME and balance among older adults. More empirical evidence is needed to determine the efficacy of HIIT for MP and flexibility in this population. Trial Registration: PROSPERO CRD42022316246. Key Points: • HIIT is an effective approach for improving older adults' resting heart rate (HR), systolic blood pressure (SBP), cardiorespiratory fitness (CRF), body fat percent (BF%), muscular strength (MS), and balance, compared with non-exercise condition. • HIIT outperformed the other exercise interventions in improving older adults' resting HR, SBP, CRF, and muscular endurance (ME). • Mean age and attrition rate were identified as potential moderators for the HIIT effects on resting HR, SBP and CRF. [ABSTRACT FROM AUTHOR]

The running gear mechanism is a critical component of high-speed trains, essential for maintaining safety and stability. Malfunctions in the running gear can have severe consequences, making it imperative to assess its condition accurately. Such assessments provide insights into the current operational status, facilitating timely maintenance and ensuring the reliable and safe operation of high-speed trains. Traditional evidential reasoning models for assessing the health of running gear typically require the integration of multiple characteristic indicators, which are often challenging to obtain and may lack comprehensiveness. To address these challenges, this paper introduces a novel assessment model that combines evidential reasoning with multidimensional fault conclusions. This model synthesizes results from various fault diagnoses to establish a comprehensive health indicator system for the running gear. The diagnostic outcomes serve as inputs to the model, which then assesses the overall health status of the running gear system. To address potential inaccuracies in initial model parameters, the covariance matrix adaptation evolution strategy (CMA-ES) algorithm is utilized for parameter optimization. Comparative experiments with alternative methods demonstrate that the proposed model offers superior accuracy and reliability in assessing the health status of high-speed train running gear. [ABSTRACT FROM AUTHOR]

Background: This study examines the perceptions of the Australian public canvassed in 2021 during the COVID‐19 pandemic about their health system compared to four previous surveys (2008, 2010, 2012 and 2018). Methods: In 2021, a nationwide online survey was conducted with a representative sample of Australians (N = 5100) recruited via market research panels. The results were compared to previous nationwide Australian survey samples from 2018 (N = 1024), 2012 (N = 1200), 2010 (N = 1201) and 2008 (N = 1146). The survey included questions consistent with previous polls regarding self‐reported health status and overall opinions of, and confidence in, the Australian health system. Results: There was an increase in the proportion of respondents reporting positive perceptions at each survey between 2008 and 2021, with a significantly higher proportion of respondents expressing a more positive view of the Australian healthcare system in 2021 compared to previous years (χ2(8, N = 9645) = 487.63, p < 0.001). In 2021, over two‐thirds of respondents (n = 3949/5100, 77.4%) reported that following the COVID‐19 pandemic, their confidence in the Australian healthcare system had either remained the same (n = 2433/5100, 47.7%) or increased (n = 1516/5100, 29.7%). Overall, respondents living in regional or remote regions, younger Australians (< 45 years) and women held less positive views in relation to the system. In 2021, the most frequently identified area for urgent improvement was the need for more healthcare workers (n = 1350/3576, 37.8%), an area of concern particularly for Australians residing in regional or remote areas (n = 590/1385, 42.6%). Conclusions: Irrespective of disruptions to the Australian healthcare system caused by the COVID‐19 pandemic, Australians' perceptions of their healthcare system were positive in 2021. However, concerns were raised about inadequate workforce capacity and the cost of healthcare, with differences identified by age groups and geographical location. Patient or Public Contribution: Health consumer representatives from the Consumers Health Forum of Australia contributed to the co‐design, deployment, analysis and interpretation of the results of this survey. J.A. and L.W. from the Consumers Health Forum of Australia contributed to the development of the paper. [ABSTRACT FROM AUTHOR]

Condition monitoring (CM) is the basis of prognostics and health management (PHM), which is gaining more and more importance in the industrial world. CM, which refers to the tracking of industrial equipment's state of health during operations, plays, in fact, a significant role in the reliability, safety, and efficiency of industrial operations. This paper proposes a data-driven CM approach based on the autoregressive (AR) modeling of the acquired sensor data and their analysis within frequency subbands. The number and size of the bands are determined with negligible human intervention, analyzing only the time–frequency representation of the signal of interest under normal system operating conditions. In particular, the approach exploits the synchrosqueezing transform to improve the signal energy distribution in the time–frequency plane, defining a multidimensional health indicator built on the basis of the AR power spectral density and the symmetric Itakura–Saito spectral distance. The described health indicator proved capable of detecting changes in the signal spectrum due to the occurrence of faults. After the initial definition of the bands and the calculation of the characteristics of the nominal AR spectrum, the procedure requires no further intervention and can be used for online condition monitoring and fault diagnosis. Since it is based on the comparison of spectra under different operating conditions, its applicability depends neither on the nature of the acquired signal nor on a specific system to be monitored. As an example, the effectiveness of the proposed method was favorably tested using real data available in the Case Western Reserve University (CWRU) Bearing Data Center, a widely known and used benchmark. [ABSTRACT FROM AUTHOR]

This review articulates current understanding of the aesthetic, artistic and creative contributions that Dance makes to Health and Wellbeing across the lifecourse within publications 2000–2019, an under-researched area. Review Questions: What are the aesthetic, artistic and creative contributions that Dance makes to Health and Wellbeing across the lifecourse? And what methodologies are appropriate for investigating these contributions? A database keyword search identified 769 articles and 91 evaluations. 109 documents were identified for further in-depth analysis and rating, resulting in 24 papers (11 articles, 3 PhD studies, 10 evaluation reports), which were thematically analysed. Findings offer seven interrelated contributions that Dance makes to Health and Wellbeing: embodiment, identity, belonging, self-worth, aesthetics, affective responses and creativity. There was less insight regarding different methodologies, and discussions focused on quantitative data's limitations. There were insights into inclusion of embodied voices, subjective accounts, and lived experiences. Whilst acknowledging challenges, this paper illuminates the key contributions of dance to arts and health. It provides a future conceptual research agenda (prioritizing identity and creativity) and associated methodological developments. It recommends expanding geographical/lifecourse research, better defining terms, fuller epistemological critiques to open space for new methodologies, and continued attendance to appropriate rigour criteria. [ABSTRACT FROM AUTHOR]

Objectives: A new patient-reported outcome (PRO) instrument to measure fatigue symptoms and impacts in relapsing multiple sclerosis (RMS) was developed in a qualitative stage, followed by psychometric validation and migration from paper to an electronic format.Methods: Adult patients with relapsing-remitting multiple sclerosis (RRMS) were interviewed to elicit fatigue-related symptoms and impacts. A draft questionnaire was debriefed in cognitive interviews with further RRMS patients, and revised. Content confirmation interviews were conducted with patients with progressive-relapsing multiple sclerosis (PRMS) and relapsing secondary-progressive multiple sclerosis (RSPMS). Psychometric analyses used data from adult patients with different RMS subtypes and matched non-RMS controls in a multicenter, observational study. After item reduction, the final instrument was migrated to a smartphone (eDiary) and usability was confirmed in interviews with additional adult RMS patients.Results: The qualitative stage included 37 RRMS, 5 PRMS, and 5 RSPMS patients. Saturation of concepts was reached during concept elicitation. Cognitive interviews confirmed that participants understood the instructions, items, and response options of the instrument-named FSIQ-RMS-as intended. Psychometric validation included 164 RMS and 74 control patients. Internal consistency and test-retest reliability were demonstrated. The symptoms domain discriminated along the RMS symptom-severity continuum and between patients and controls. Patients were able to attribute fatigue-related symptoms to RMS. Usability and conceptual equivalence of the eDiary were confirmed (n = 10 participants).Conclusions: With 7 symptom items and 13 impact items (in 3 impacts subdomains: physical, cognitive and emotional, and coping) after item reduction, the FSIQ-RMS is a comprehensive, valid, and reliable measure of fatigue-related symptoms and impacts in RMS patients. [ABSTRACT FROM AUTHOR]

The article calls for papers addressing the health of vulnerable populations, constructs of social inclusion and exclusion, interventions for vulnerable populations in the context of sustainable development goals (SDG) at the micro- and macro-policy levels, and factors to vulnerabilities.

The assessment of the health status and prediction of the lifespan of cable equipment are critical for ensuring the stability and efficiency of the power grid. This paper develops a temperature-current-capacity-life calculation model for cables, considering the fast and slow charging demands of electric vehicles (EVs). Analyses under scenarios of rapid and slow charging demands are conducted, introducing a cable health index and establishing a health status assessment framework based on this index. The framework accounts for various factors leading to cable faults, offering a comprehensive evaluation of the health status of cables with different fault rates. Building upon this, a prediction method using the Fire Hawk Optimization (FHO) Algorithm and Convolutional Neural Network (CNN) is proposed. This method enhances performance by optimizing the hyperparameters of Bidirectional Gated Recurrent Unit (BiGRU) through FHO, effectively searching and determining the optimal hyperparameter configuration. The impact of different scenarios and varying EV penetration rates on cable temperature is analyzed through case studies, facilitating the assessment and prediction of health status. [ABSTRACT FROM AUTHOR]

This paper explores the characteristics and associative impact of the compounds from mulberry leaves and yeast (S. cerevisae). Nutritional characteristics of the mulberry leaves, yeast properties and metabolism, as well as the effects on silkworms, were described. The online English databases used were MDPI, PubMed, Research Gate, Google Scholar, and Elsevier. The nutrition and health of silkworms B. mori depend on protein and amino acids, fats, vitamins, and minerals, all abundant in mulberry leaves. Furthermore, mulberry leaves contain bioactive phytochemicals offering health benefits. Many dietary supplements were investigated for their potential to enhance nutritional, technical, and health benefits, even though mulberry leaves are considered a complete feed for B. mori silkworm. Yeast is a good source of proteins, amino acids, fats, carbohydrates, minerals, and vitamins that can contribute to the fortification of mulberry leave characteristics. S. cerevisiae species also produce several secondary metabolites: polyketides, phenolics, alkaloids, and flavonoids. Numerous studies have demonstrated the positive effects of yeast dietary addition on economic indicators and health status in silkworm fifth instar. Yeast can act as a probiotic, release digestive enzymes and influence gut microbiota. Alterations in the gut microbiota improve immunological resistance and nutrition metabolism, ameliorating silkworm performances. [ABSTRACT FROM AUTHOR]

Telehealth (TH) solutions for Chronic Obstructive Pulmonary Disease (COPD) are promising behavioral therapeutic interventions and can help individuals living with COPD to improve their health status. The linking content, mechanism, and outcome of TH interventions reported in the literature related to COPD care are unknown. This paper aims to summarize the existing literature about structured TH solutions in COPD care. We conducted an electronic search of the literature related to TH solutions for COPD management up to October 2023. Thirty papers presented TH solutions as an innovative treatment to manage COPD. TH and digital health solutions are used interchangeably in the literature, but both have the potential to improve care, accessibility, and quality of life. To date, current TH solutions in COPD care have a variety of content, mechanisms, and outcomes. TH solutions can enhance education as well as provide remote monitoring. The content of TH solutions can be summarized as symptom management, prompt physical activity, and psychological support. The mechanism of TH solutions is manipulated by factors such as content, mode of delivery, strategy, and intensity. The most common outcome measures with TH solutions were adherence to treatment, health status, and quality of life. Implementing effective TH with a COPD care bundle must consider important determinants such as patient's needs, familiarity with the technology, healthcare professional support, and data privacy. The development of effective TH solutions for COPD management also must consider patient engagement as a positive approach to optimizing implementation and effectiveness. [ABSTRACT FROM AUTHOR]

This paper examines retirement by older workers with intellectual disability. Much research and intervention about retirement and intellectual disability in the last decade or so emanates from Australia, although there are some current cross-sectional and descriptive studies from other developed countries. The Australian literature stands out as the forerunner in the development and controlled evaluation of interventions to support the process of preparing for, practising, and then experiencing retirement. Therefore, this paper begins by briefly describing retirement-related aspects of employment for people with intellectual disability in Australia. Next, we present a critical summary of Australian research on the retirement of people with intellectual disability, supported by a briefer analysis of international literature. Then, key issues, such as financial factors, age of retirement, the time course of retirement (sudden or gradual), and self-determination regarding the decision to retire, are explored. Finally, to help guide future research and policy, we identify a number of retirement-related research questions that are currently under-researched or unexamined. [ABSTRACT FROM AUTHOR]